Gemini Deep Think solves five IMO 2025 problems

An advanced Gemini Deep Think model produced natural-language solutions to five of the six 2025 International Mathematical Olympiad problems, earning 35 of 42 points under the official coordinators’ grading.

Sources for this record

What was already known

Google DeepMind’s AlphaProof and AlphaGeometry 2 systems solved four 2024 IMO problems for 28 of 42 points using expert translations into formal languages and two to three days of computation. The 2025 Gemini system received the official natural-language problem statements and ran within the 4.5-hour contest limit.

AI involvement AI-led

Google DeepMind states that Gemini Deep Think generated the proofs directly from official problem descriptions. Humans developed the system, supplied general instructions and training material, and arranged official grading.

DeepMind says the model wrote the five solutions directly from official natural-language statements within the contest limit. Human developers trained it and supplied general mathematical hints, so task-only autonomy is not established.

Importance Modest

The result demonstrates gold-medal-level performance on known competition problems with direct natural-language input and output.

Limitations

These are solutions to competition problems, not new research theorems. IMO coordinators checked the submitted answers; they did not validate the model, training process or broader reliability. The supplied PDF contains the five solutions.

Technical verification Formal (human)

Official IMO coordinators graded the submitted solutions as five correct, 35/42. The IMO review concerned these answers, not the model or process.

Independent checking

The IMO president and official coordinators graded the submitted natural-language solutions as 35/42. Their review covered answers, not the model or process.

Checker
International Mathematical Olympiad coordinators
Scope
The five submitted solutions to the 2025 IMO problems, graded for a total of 35 of 42 points.
Basis
Reported by the linked checker
Evidence source

Human understanding Few

Few is the default when evidence for a higher level is insufficient. The coordinator quotation calls the proofs clear and precise, but the reviewed source does not document a named human reconstruction of each central argument.

Correction and publication history

2026-10-18 · publication

Primary-source claim review for the What AI Found discovery index; non-notifying local inclusion.

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